Capital One Financial has filed a patent for an analytics platform that can automatically generate source code to build a data mart and data pipeline for data analytics use cases. The platform processes a data lineage configuration to identify data sources and relations, and parses a source code template to generate executable code. The patent also includes the generation of an interactive response related to the data lineage configuration or data processing operations. GlobalData’s report on Capital One Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Capital One Financial, virtual banking assistant was a key innovation area identified from patents. Capital One Financial's grant share as of September 2023 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
The patent filed is for an analytics platform for data processing
A recently filed patent (Publication Number: US20230315619A1) describes a device and method for automating the creation of data marts and data pipelines for data analytics use cases. The device includes one or more memories and processors that are configured to process a data lineage configuration associated with a data analytics use case. This configuration includes parameters related to a data pipeline and data mart. The device parses a source code template that defines functions for building the data mart and data pipeline. Based on this parsing, the device generates source code that automatically substitutes elements specified in the data lineage configuration with tokens parsed from the source code template. Additionally, the device generates an interactive response based on the data lineage configuration, providing information related to the configuration or data processing operations applied to data sets for implementing the data analytics use case.
The device can also identify tokens associated with data sets by parsing the source code template. Furthermore, the device can generate test cases for validating the source code and data pipeline based on the data lineage configuration. These test cases process information generated from the configuration. The data lineage configuration also specifies the order in which data processing operations are applied to the data sets.
In addition to these capabilities, the device can maintain an audit history that tracks interactions with the data mart over time based on the data lineage configuration. This allows for monitoring and tracking changes made to the data mart.
The method described in the patent involves parsing a source code template to generate source code for building a data mart and data pipeline. The method also includes generating an interactive response based on the data lineage configuration, providing information about the configuration or data processing operations applied to data sets.
Similar to the device, the method can identify tokens associated with data sets by parsing the source code template. It can also generate test cases for validating the source code and data pipeline based on the data lineage configuration. The method can validate the source code and data pipeline using these test cases, processing information generated from the configuration. The data lineage configuration specifies the order of data processing operations applied to the data sets.
Furthermore, the patent describes a non-transitory computer-readable medium that stores instructions for performing the method. These instructions, when executed by a device's processors, enable the device to parse the source code template, generate source code, and generate an interactive response based on the data lineage configuration. The medium can also facilitate the generation of test cases, validation of source code and data pipeline, and maintenance of an audit history.
Overall, this patent presents a device, method, and computer-readable medium that automate the creation of data marts and data pipelines for data analytics use cases, providing efficient and customizable solutions for data processing and analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
